Big Data Analysis and Deep Learning Applications
This is a preview of subscription content, log in via an institution to check access.
Access this book
Subscribe and save
Springer+ Basic
€32.70 /Month
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
eBook EUR 149.79
Price includes VAT (France)
Softcover Book EUR 189.89
Price includes VAT (France)
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.
Similar content being viewed by others
Future and Discussions
Chapter © 2020
An Overview of Deep Learning and Its Applications
Chapter © 2019
Overview Machine Learning and Deep Learning Frameworks
Chapter © 2021
Keywords
- Big Data Analysis
- Machine Learning
- Monitoring System
- Image Processing
- Conventional Neural Networks
- Industrial Information
Table of contents (42 papers)
Front Matter
Pages i-xiv
Big Data Analysis
Front Matter
Data-Driven Constrained Evolutionary Scheme for Predicting Price of Individual Stock in Dynamic Market Environment
- Henry S. Y. Tang, Jean Hok Yin Lai
Predictive Big Data Analytics Using Multiple Linear Regression Model
- Kyi Lai Lai Khine, Thi Thi Soe Nyunt
Evaluation for Teacher’s Ability and Forecasting Student’s Career Based on Big Data
- Zun Hlaing Moe, Thida San, Hlaing May Tin, Nan Yu Hlaing, Mie Mie Tin
Pages 20-27
Tweets Sentiment Analysis for Healthcare on Big Data Processing and IoT Architecture Using Maximum Entropy Classifier
- Hein Htet, Soe Soe Khaing, Yi Yi Myint
Pages 28-38
A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics
- Radia El Bacha, Thi Thi Zin
Pages 39-47
Real Time Semantic Events Detection from Social Media Stream
- Phyu Phyu Khaing, Than Nwe Aung
Pages 48-57
Community and Outliers Detection in Social Network
- Htwe Nu Win, Khin Thidar Lynn
Pages 58-67
Analyzing Sentiment Level of Social Media Data Based on SVM and Naïve Bayes Algorithms
- Hsu Wai Naing, Phyu Thwe, Aye Chan Mon, Naw Naw
Pages 68-76
Deep Learning and its Applications
Front Matter
Pages 77-77
Accuracy Improvement of Accelerometer-Based Location Estimation Using Neural Network
- Noritaka Shigei, Hiroki Urakawa, Yoshihiro Nakamura, Masahiro Teramura, Hiromi Miyajima
Pages 79-85
Transparent Object Detection Using Convolutional Neural Network
- May Phyo Khaing, Mukunoki Masayuki
Pages 86-93
Multi-label Land Cover Indices Classification of Satellite Images Using Deep Learning
- Su Wit Yi Aung, Soe Soe Khaing, Shwe Thinzar Aung
Pages 94-103
Real-Time Hand Pose Recognition Using Faster Region-Based Convolutional Neural Network
- Hsu Mon Soe, Tin Myint Naing
Pages 104-112
Data Mining and its Applications
Front Matter
Pages 113-113
School Mapping for Schools of Basic Education in Myanmar
- Myint Myint Sein, Saw Zay Maung Maung, Myat Thiri Khine, K-zin Phyo, Thida Aung, Phyo Pa Pa Tun
Pages 115-122
GBSO-RSS: GPU-Based BSO for Rules Space Summarization
- Youcef Djenouri, Jerry Chun-Wei Lin, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger
Pages 123-129
Machine Learning Based Live VM Migration for Efficient Cloud Data Center
Pages 130-138
Dynamic Replication Management Scheme for Distributed File System
- May Phyo Thu, Khine Moe Nwe, Kyar Nyo Aye
Pages 139-148
Other volumes
Big Data Analysis and Deep Learning Applications
Editors and Affiliations
Faculty of Engineering, University of Miyazaki, Miyazaki, Japan
Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences (HVL), Bergen, Norway
About the editors
Thi Thi Zin received her Ph.D. degree in the field of Image Processing in 2007 from Osaka City University, Japan. From 2007 to 2009, she was awarded a postdoctoral research fellowship of Japan Society for the Promotion of Science (JSPS). After the JSPS, she worked as a specially appointed researcher and specially appointed assistant professor at the University of Tokyo and Osaka City University until 2013. In 2016, she became a professor at the Faculty of Engineering, University of Miyazaki, Japan. Her research interests include human behavior understanding, intelligent transportation systems, cow behavior analysis, health care monitoring systems, and image recognition. She is a member of IEEE.
Jerry Chun-Wei Lin is currently an associate professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), China. He has published more than 200 research papers (90 SCI papers) and international conferences. His research interests include data mining, soft computing, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies. He is the Editor-in-Chief of the journal Data Science and Pattern Recognition (DSPR), associate editor of Journal of Network Intelligence, associate editor of Journal of Internet Technology (JIT), and the editorial board member of Intelligent Data Analysis (IDA). He is also the leader of SPMF project, which provides more than 130 data mining algorithms and has been widely cited in many different applications.
Bibliographic Information
- Book Title : Big Data Analysis and Deep Learning Applications
- Book Subtitle : Proceedings of the First International Conference on Big Data Analysis and Deep Learning
- Editors : Thi Thi Zin, Jerry Chun-Wei Lin
- Series Title : Advances in Intelligent Systems and Computing
- DOI : https://doi.org/10.1007/978-981-13-0869-7
- Publisher : Springer Singapore
- eBook Packages : Intelligent Technologies and Robotics , Intelligent Technologies and Robotics (R0)
- Copyright Information : Springer Nature Singapore Pte Ltd. 2019
- Softcover ISBN : 978-981-13-0868-0 Published: 07 June 2018
- eBook ISBN : 978-981-13-0869-7 Published: 06 June 2018
- Series ISSN : 2194-5357
- Series E-ISSN : 2194-5365
- Edition Number : 1
- Number of Pages : XIV, 386
- Number of Illustrations : 190 b/w illustrations
- Topics : Computational Intelligence , Image Processing and Computer Vision , Data Mining and Knowledge Discovery , Artificial Intelligence